{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T04:58:23Z","timestamp":1790830703624,"version":"4.1.0"},"reference-count":28,"publisher":"MDPI AG","issue":"19","license":[{"start":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T00:00:00Z","timestamp":1790640000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Ministry of Economic Development of the Russian Federation","award":["000000C313925P4E0002"],"award-info":[{"award-number":["000000C313925P4E0002"]}]},{"name":"HSE University","award":["139-15-2025-009"],"award-info":[{"award-number":["139-15-2025-009"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Manual assessment of soybean yield components, such as pod number, is laborious, time-consuming, and subjective. Existing computer-vision approaches based on object detection or instance segmentation perform poorly on close-range RGB imagery of soybean canopies due to severe occlusions, ambiguous plant boundaries, and the high cost of bounding-box annotation. To address these challenges, we propose a video-based ranking pipeline that avoids explicit per-plant detection and instead aggregates global frame-level features derived from monocular depth estimation, semantic plant segmentation, and pod keypoint counting. Depth maps from Depth Anything 3 are used to suppress background clutter, while zero-shot segmentation with SAM3 (distilled into a lightweight SegFormer) provides plant-area signals and a point-based counting network (P2PNet) estimates pod counts. We evaluate the method on a controlled dataset comprising 11 ranks with multiple indoor and outdoor scenes. The proposed pipeline provides a practical, cost-effective solution for automated bed-quality scoring, although it currently depends on fixed camera geometry and does not yet associate pods with individual plants.<\/jats:p>","DOI":"10.3390\/s26196171","type":"journal-article","created":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T12:09:25Z","timestamp":1790683765000},"page":"6171","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Automated Ranking of Soybean Plots from Close-Range RGB Video via Depth Filtering and Point-Based Counting"],"prefix":"10.3390","volume":"26","author":[{"given":"Nikita","family":"Teterin","sequence":"first","affiliation":[{"name":"Tikhonov Moscow Institute of Electronics and Mathematics, HSE University, 20 Myasnitskaya Street, Moscow 101000, Russia"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"formal-analysis","vocabulary":"credit"},{"role":"writing-original-draft","vocabulary":"credit"},{"role":"investigation","vocabulary":"credit"},{"role":"visualization","vocabulary":"credit"},{"role":"software","vocabulary":"credit"},{"role":"data-curation","vocabulary":"credit"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4272-9951","authenticated-orcid":false,"given":"Sergey","family":"Slastnikov","sequence":"additional","affiliation":[{"name":"Tikhonov Moscow Institute of Electronics and Mathematics, HSE University, 20 Myasnitskaya Street, Moscow 101000, Russia"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"project-administration","vocabulary":"credit"},{"role":"writing-review-editing","vocabulary":"credit"},{"role":"formal-analysis","vocabulary":"credit"},{"role":"conceptualization","vocabulary":"credit"},{"role":"validation","vocabulary":"credit"},{"role":"methodology","vocabulary":"credit"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2593-215X","authenticated-orcid":false,"given":"Petr","family":"Rybakov","sequence":"additional","affiliation":[{"name":"Tikhonov Moscow Institute of Electronics and Mathematics, HSE University, 20 Myasnitskaya Street, Moscow 101000, Russia"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"writing-review-editing","vocabulary":"credit"},{"role":"validation","vocabulary":"credit"},{"role":"conceptualization","vocabulary":"credit"},{"role":"methodology","vocabulary":"credit"},{"role":"data-curation","vocabulary":"credit"},{"role":"project-administration","vocabulary":"credit"},{"role":"supervision","vocabulary":"credit"}]},{"given":"Maksim","family":"Groshev","sequence":"additional","affiliation":[{"name":"Tikhonov Moscow Institute of Electronics and Mathematics, HSE University, 20 Myasnitskaya Street, Moscow 101000, Russia"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"conceptualization","vocabulary":"credit"},{"role":"data-curation","vocabulary":"credit"},{"role":"writing-review-editing","vocabulary":"credit"},{"role":"validation","vocabulary":"credit"},{"role":"methodology","vocabulary":"credit"},{"role":"software","vocabulary":"credit"}]}],"member":"1968","published-online":{"date-parts":[[2026,9,29]]},"reference":[{"key":"ref_1","first-page":"397","article-title":"Correlation and path analysis studies among soybean genotypes under foothill conditions of Nagaland","volume":"9","author":"Humtsoe","year":"2017","journal-title":"Indian Res. 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